Related Experiment Video
Updated: Jun 2, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Core Elements, Development, and Implementation Strategies of the Nursing Minimum Data Set: Scoping Review.
Pascal Müller1, Annabell Gangnus1, Katrin Gayen1
1Health Service Research Working Group, Acute Care, Department of Internal Medicine, Faculty of Medicine, University Medicine Halle (Saale), Martin-Luther-University Halle-Wittenberg, Magdeburger Straße 12, Halle (Saale), 06112, Germany, 49 3455574001.
The Nursing Minimum Data Set (NMDS) offers standardized nursing data for care evaluation. International variability and challenges in adoption persist, requiring collaborative efforts for effective implementation and data utility.
Area of Science:
- Nursing Informatics
- Health Services Research
- Data Standards
Background:
- Nursing care systems face challenges from demographic shifts, workforce shortages, and increased demand.
- Digital technologies can help, but standardized nursing data are crucial for evaluating innovations and care processes.
- The Nursing Minimum Data Set (NMDS) is a framework for structured nursing data, but lacks international consensus on content, development, and use.
Purpose of the Study:
- To map international literature on NMDS core content elements.
- To identify methodological approaches in NMDS development.
- To explore NMDS implementation and use across diverse nursing settings.
Main Methods:
- A scoping review following JBI and Arksey/O'Malley frameworks.
- Systematic searches in MEDLINE and CINAHL databases using "nursing minimum data set."
- Inclusion of English/German studies on NMDS content, development, or implementation; independent, double-blinded review.
Main Results:
- 26 studies met inclusion criteria, showing heterogeneity in NMDS structure (16-145 items).
- Four core domains consistently identified: patient demographics, medical care, nursing care elements, and organizational data.
- NMDS development involves participatory, multistage approaches; implementation supports documentation, planning, quality assurance, and outcome demonstration, facing challenges in standardization, legal frameworks, and training.
Conclusions:
- The NMDS is vital for standardized nursing documentation, quality assurance, and health system planning.
- International variability and challenges in harmonization, integration, and acceptance remain.
- Advancing NMDS requires collaboration for interoperability, digital infrastructure investment, and education; future research should address comparative effectiveness and reducing documentation burden.
More Related Videos
09:47DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
08:44Elucidation of the Material Basis of Yiqi Qingjie Formula Against IgA Nephropathy Using UHPLC-Q-Orbitrap HRMS Integrated with Network Pharmacology
Published on: May 19, 2026
Related Concept Videos
Critical Region, Critical Values and Significance Level
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the test...
Development of Analytical Methods
Quality Assurance
Preclinical Development: Overview
Statistical Software for Data Analysis and Clinical Trials
Optimization Problems